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Subsurface Characterization and Machine Learning Predictions at Brady Hot Springs Results

Geothermal power plants typically show decreasing heat and power production rates over time. Mitigation strategies include optimizing the management of existing wells increasing or decreasing the fluid flow rates across the wells and drilling new wells at appropriate locations. Th...

Beckers, K. et al National Renewable Energy Laboratory

Oct 20, 2021
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EGS Collab Experiment 2: Distributed Fiber Optic Temperature Data (DTS)

Distributed fiber optic sensing was an important part of the monitoring system for EGS Collab Experiment #2. A single loop of custom fiber package was grouted into the four monitoring boreholes that bracketed the experiment volume. This fiber package contained two multi-mode fiber...

Rodriguez Tribaldos, V. et al Lawrence Berkeley National Laboratory

Nov 08, 2022
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Utah FORGE 2-2439v2: Report on Predicting Far-Field Stresses Using Finite Element Modeling and Near-Wellbore Machine Learning for Well 16A(78)-32

This report presents the far-field stress predictions at two locations along the vertical section of Utah FORGE Well 16A (78)-32 using a physics-based thermo-poro-mechanical model. Three principal stresses in far-field were obtained by solving an inverse problem based on the near-...

Lu, G. et al University of Pittsburgh

Aug 30, 2024
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High-Pressure Combustion and Deflagration-to-Detonation Transition in Ethylene/Nitrous Oxide Mixtures

In this paper, the combustion of nitrous oxide with a simple hydrocarbon, ethylene, at high initial pressures is investigated. A series of experiments were conducted using a stoichiometric C2H4-N2O mixture in a round, smooth-walled tube with initial pressures of 125 to 337 psi. ...

Grubelich, M. Sandia National Laboratories

Nov 01, 2013
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Foam Fracturing Study for Stimulation Development of Enhanced Geothermal Systems

This is a final technical report for the project: Foam Fracturing Study for Stimulation Development of Enhanced Geothermal Systems (EGS). The goal is to demonstrate the feasibility of foam fracturing in EGS applications. The project, led by Oak Ridge National Laboratory (ORNL), wa...

Wang, H. et al Oak Ridge National Laboratory

May 17, 2022
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Analysis of Joist Masonry Moisture Content Monitoring

BSC TO5 Task 7.2 Analysis of Joist Masonry Moisture Content Monitoring House Lawrence, MA 01840 This work involved the field monitoring of embedded wood joist ends in a solid brick building in zone 5A that was retrofitted with interior insulation. Eleven joists throughout the bui...

Ueno, K. Building Science Corporation

Apr 27, 2016
3 Resources
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20 Year Daily Average Modeled Velocity and Discharge for Openwater Season at Five Communities on Kuskokwim River, Alaska

This dataset includes modeled velocity and discharge at five communities in the middle Kuskokwim River region: Aniak, Chuathbaluk, Crooked Creek, Red Devil and Stony River. Modeled velocities and discharge represent daily averages calculated for the openwater season (OWS) from Jun...

Brown, E. et al University of Alaska Fairbanks

Dec 02, 2022
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TEAMER: Biofouling Analysis for Wave Energy Piston Design Load Cell Data

Biofouling and corrosion are a major concern for all ocean-deployed components, especially when mechanical motion is involved. Triton has developed the concept of a biofouling mitigation seal as part of the piston sealing assembly for the Triton Wave Energy Converter (TSI-WEC). Th...

Robertson, T. et al Triton Systems, Inc.

Nov 01, 2021
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Improved Rare Earth Element Sorption from Simulated Geothermal Brines: Effect of Gassed versus Degassed Brines

A study exploring sorption and stripping characteristics of sorption media when simulated geothermal brines are degassed or not degassed. Experiments were done at 70degC. The brines used in this study were formulated by Tusaar. The two brines used/simulated are labeled 1M and 1C...

Stull, D. Tusaar Corp.

May 24, 2016
2 Resources
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Performance and Costs of Ductless Heat Pumps in Marine-Climate High-Performance Homes Habitat for Humanity The Woods

The Washington State University (WSU) Energy Program's Building America (BA) team conducted a case study of a high-performance affordable housing community: The Woods (Figure 1). This BA effort is part of a larger-scale study of 30 homes funded from 2013-2016 by Tacoma Public Util...

Lubliner, M. et al Washington State University

Apr 27, 2016
8 Resources
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2024 Standard Scenarios: A U.S. Electricity Sector Outlook

This data corresponds to the 2024 Standard Scenarios report, which contains a suite of forward-looking scenarios of the possible evolution of the U.S. electricity sector through 2050. These files contain modeled projections of the future. Although we strive to capture relevant p...

Gagnon, P. et al National Renewable Energy Laboratory (NREL)

Dec 30, 2024
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REE Adsorption Performance with Immobilized Caulobacter Biofilms

This submission includes data collected from experiments on the performance of rare earth adsorption by immobilized bacteria that accompany the FY18 Q2 and Q3 quarter reports. Relevant information from these reports is included in a resource below. The spreadsheet below includes d...

Jiao, Y. and Park, D. Lawrence Livermore National Laboratory

Apr 01, 2018
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RANS Simulation VBM of Single Lab Scaled DOE RM1 MHK Turbine

Attached are the .cas and .dat files for the Reynolds Averaged Navier-Stokes (RANS) simulation of a single lab-scaled DOE RM1 turbine implemented in ANSYS FLUENT CFD-package. The lab-scaled DOE RM1 is a re-design geometry, based of the full scale DOE RM1 design, producing same po...

Javaherchi, T. et al University of Washington (NNMREC)

Apr 15, 2014
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Utah FORGE: 2019 ARMA Overview Slide Presentation

This is an overview presentation of the Utah FORGE project given by Joseph Moore, Ph.D., at the 2019 American Rock Mechanics Associate meeting. It details the state of the Utah FORGE project at on 8/17/2019.

Moore, J. Energy and Geoscience Institute at the University of Utah

Aug 17, 2019
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RANS Simulation VBM of Array of Three Coaxial Lab Scaled DOE RM1 MHK Turbine with 5D Spacing

Attached are the .cas and .dat files along with the required User Defined Functions (UDFs) and look-up table of lift and drag coefficients for the Reynolds Averaged Navier-Stokes (RANS) simulation of three coaxially located lab-scaled DOE RM1 turbine implemented in ANSYS FLUENT CF...

Javaherchi, T. University of Washington

Jun 08, 2016
9 Resources
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Workplace Charging Data

A data set gathered and maintained by NREL that tracks over 300 vehicles during the course of a 4-year period and how they behave in a workplace charging capacity. The data is further enriched by examining the effect of free charging versus paid charging. There is also a distincti...

Neuman. . et al National Renewable Energy Laboratory

Jan 04, 2022
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Field Testing of an Unvented Roof with Fibrous Insulation, Tiles, and Vapor Diffusion Venting

BSC TO5 Task 2.5 Field Testing of an Un-vented Roof with Fibrous Insulation and Tiles Winter Park, FL 32789 Field test data available for wood moisture contents, temperature, and relative humidity. Un-vented roofs (aka cathedral-ized attics) are an established presence in Florida...

Ueno, K. and Lstiburek, J. Building Science Corporation

Apr 27, 2016
2 Resources
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Processed Lab Data for Neural Network-Based Shear Stress Level Prediction

Machine learning can be used to predict fault properties such as shear stress, friction, and time to failure using continuous records of fault zone acoustic emissions. The files are extracted features and labels from lab data (experiment p4679). The features are extracted with a n...

Marone, C. et al Pennsylvania State University

May 14, 2021
3 Resources
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Chemical, Calcium Phosphate Cements for Geothermal Wells Corrosion Protection, Bond Strength and Matrix Self-Healing

The data set shows performance of economical calcium phosphate cement (Fondu) blended with fly ash, class F (FAF) in carbon steel corrosion protection tests (corrosion rate, corrosion current and potential), bond and matrix strength, as well as matrix strength recovery after impos...

Sugama, T. Brookhaven National Laboratory

Sep 26, 2017
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European Union (EU) GHG and CO2 Emissions 2010 (1990 2007)

[European Commission Website]: http://ec.europa.eu/about_en.htm These datasets include GHG and CO2 emissions statistics for the European Union (EU). The statistics are available from the [European Commission Website][]. Data includes: summary GHG and CO2 emissions for the entire ...

Hallett, K. and Commission, E. National Renewable Energy Laboratory

Jul 29, 2014
6 Resources
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LCOE Baseline for Wave Carpet WEC Device

This is an LCOE (levelized cost of energy) baseline assessment for the Wave Carpet.

Previsic, M. et al Re Vision Consulting

Jul 26, 2017
2 Resources
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Thermostatic Radiator Valve Evaluation and Demonstration

A large stock of multifamily buildings in the Northeast and Midwest uses hot water or steam for space heating. Typically, residents do not pay for heat directly (i.e., heating fuel serves a central plant and use is not submetered). Losses from these systems are typically high, and...

Dentz, J. and Ansanelli, E. The Levy Partnership, Inc Systems Building Research Alliance

Apr 27, 2016
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Grain-Scale Failure in Thermal Spallation Drilling

Geothermal power promises clean, renewable, reliable and potentially widely-available energy, but is limited by high initial capital costs. New drilling technologies are required to make geothermal power financially competitive with other energy sources. One potential solution is ...

Walsh, S. et al Lawrence Livermore National Laboratory

Jan 01, 2012
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Utah FORGE: Well 16B(78)-32 DTS, RFS DSS Strain, and Absolute Strain Circulation Test Fiber Optic Data August 2024

This dataset contains processed fiber optic measurements collected during the extended cross-well circulation test at the Utah FORGE site in August 2024. The data was acquired from the 16B(78)-32 well using distributed fiber optic sensing (DFOS) technology, including distributed t...

Jurick, D. et al Neubrex Energy Services (US), LLC

Aug 30, 2024
9 Resources
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Appendices for Geothermal Exploration Artificial Intelligence Report

The Geothermal Exploration Artificial Intelligence looks to use machine learning to spot geothermal identifiers from land maps. This is done to remotely detect geothermal sites for the purpose of energy uses. Such uses include enhanced geothermal system (EGS) applications, especia...

Duzgun, H. et al Colorado School of Mines

Jan 08, 2021
12 Resources
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